Analyse de Cycle de Vie de la valorisation énergétique de la biomasse algale : prise en compte des aspects dynamiques dans l'étape d’inventaire. Collet, P. Ph.D. Thesis, Montpellier SupAgro, Montpellier, France, 2012. Paper abstract bibtex biodiesel production using electricity produced by local and renewable sources has been undertaken in order to estimate potential impacts’ modifications and to compare them with the consequences of an increase of microalgal productivity. Life Cycle Inventory (LCI) is usually based on steady-state and linear models of elementary processes and temporal or spatial variations of commodity flows and emissions are most of the time ignored or aggregated within the overall uncertainty. Furthermore Life Cycle Impact Assessment (LCIA) framework generally assumes that the biological processes respond linearly to environmental disturbances and that threshold effects can be neglected. As the development of dynamic impact methods is based on dynamic inventory data, it seems essential to develop a general methodology to achieve a temporal LCI. This PhD thesis presents a methodology to pursue a dynamic LCI based on the identification of key flows by sensitivity analyses. Once these commodity flows and environmental flows have been identified, their own timescales are compared to the inherent timescales of the impact categories affected by the flows. From this perspective, temporal dimensions of different impact categories are suggested and discussed. This approach is illustrated by theoretical and existing bioenergy systems. (PhD thesis in French including journal articles in English)
@phdthesis{Collet2012,
abstract = {biodiesel production using electricity produced by local and renewable sources has been undertaken in order to estimate potential impacts’ modifications and to compare them with the consequences of an increase of microalgal productivity. Life Cycle Inventory (LCI) is usually based on steady-state and linear models of elementary processes and temporal or spatial variations of commodity flows and emissions are most of the time ignored or aggregated within the overall uncertainty. Furthermore Life Cycle Impact Assessment (LCIA) framework generally assumes that the biological processes respond linearly to environmental disturbances and that threshold effects can be neglected. As the development of dynamic impact methods is based on dynamic inventory data, it seems essential to develop a general methodology to achieve a temporal LCI. This PhD thesis presents a methodology to pursue a dynamic LCI based on the identification of key flows by sensitivity analyses. Once these commodity flows and environmental flows have been identified, their own timescales are compared to the inherent timescales of the impact categories affected by the flows. From this perspective, temporal dimensions of different impact categories are suggested and discussed. This approach is illustrated by theoretical and existing bioenergy systems. (PhD thesis in French including journal articles in English)},
address = {Montpellier, France},
author = {Collet, Pierre},
file = {:C$\backslash$:/Users/simapro-irstea/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Collet - 2012 - Analyse de Cycle de Vie de la valorisation \'{e}nerg\'{e}tique de la biomasse algale prise en compte des aspects dynamiques dan.pdf:pdf},
pages = {286},
publisher = {Institut National de la Recherche Agronomique (INRA), Laboratoire de Biotechnologie de l'Environnement},
school = {Montpellier SupAgro},
title = {{Analyse de Cycle de Vie de la valorisation \'{e}nerg\'{e}tique de la biomasse algale : prise en compte des aspects dynamiques dans l'\'{e}tape d’inventaire}},
url = {http://prodinra.inra.fr/?locale=fr\#!ConsultNotice:189108},
year = {2012}
}
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